**Group A: Introductory Courses**

**Credit for a maximum of 4 courses**

These courses seek to provide five critical foundational knowledge and skills that each student graduating from the master’s program is expected to receive at a graduate level: programming skills, data organization and methods skills, numerical linear algebra, multivariate calculus, probability and statistics.

The program is designed so that students lacking in any (and all) of these foundational knowledge and skills can take credit for a** maximum of four courses** from the following five courses: